Abstract: Optimization-based meta-learning methods for few-shot one-class classification (FS-OCC) aim to fine-tune a meta-trained model to classify the positive and negative samples using only a few ...
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Abnormality detection in medical images is a one-class classification (OCC) problem, where learning relies mainly on data from the normal class. In such problems, completely characterizing the ...